A GA Based Task Grouping for Top-Down Collaborative Assembly Design

Youdong Yang,Zhihua Li,Shuting Zhang,Shuming Gao

doi:10.1007/978-3-540-72863-4_42

A GA Based Task Grouping for Top-Down Collaborative Assembly Design

Youdong Yang, Zhihua Li + Show 2 more

https://doi.org/10.1007/978-3-540-72863-4_42

Copy DOI

Publication Date: May 3, 2006

Citations: 5

Affiliation: Zhejiang University

#Top-down Assembly Design #Top-down Assembly + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

The top-down collaborative assembly design process of a product is highly concurrent and tightly coupled. Rational task planning significantly affects cycle time and efficiency of the product design. Task grouping is one of the key issues of task planning and it is discussed for top-down collaborative assembly design. An improved genetic algorithm (GA) for the task grouping is developed according to two principles: (1) the workload should be equilibrium among the design teams; (2) the tasks with high coupling relationships should be grouped into the same task group. As a case study, top-down collaborative assembly design of the shaper is demonstrated and the result illustrates the effectiveness of the proposed algorithm.

Full Text